Campus Pride Jobs

• Leverage leading analytical tools to generate insights that facilitate key decisions by department Leadership

• Develop repeatable analytics aimed at department and Executive Leadership that provide insights into the health and performance of the department.

• Leverage available data to develop preventative and detective controls to ensure timeliness, accuracy, and completeness of business processes

• Contribute to the design and architecture of data models and dashboards used to retain and present key information to the business; Identify downstream impacts of changes and enhancements to current analyses, models, and algorithms

• Assist with development and execution of highly complex algorithms and statistical predictive models from large sets of data

• Determine analytical approaches and modeling techniques to evaluate scenarios and potential future outcomes

• Inference data to make recommendations and decisions

• Develop repeatable ETL processes from source systems to analytics sandbox, ensuring integrity, completeness, and accuracy of data is maintained

• Perform statistical analysis to quantify the limitations of models

• Develop and improve upon metrics that evaluate department performance

• Think critically about the business and how the work is performed. Identify opportunities to improve the status quo, inject data into the decision-making process, and support progress with facts

• Serve as a trusted contact for internal department members or other departments. Work with the business to define methodologies that directly address their concerns; present results or deliverables to the business and provide support with confidence.

• Analyze and reconcile premium revenue and remittance status, accounting for rate changes across all product lines. Support and report account receivables sub-ledger aging and collections.

• Review, analyze and create detailed documentation reports to support department processes

• Anticipate and solve strategic and high risk business problems with broad impact on the business area by investigating problems, detecting patterns and recommending solutions

• Communicate new knowledge and insights gained from analysis of big data

• Transfer knowledge and concepts to the team that is implementing the actual system

• Partner with IT and business teams to solve problems, develop new algorithms and models, and identify trends and opportunities. Inform, influence, support, and execute business and product decisions.

• Additional duties as assigned

Minimum Qualifications:

• Bachelors degree from an accredited institution or equivalent work experience

• Proficiency of scripting and programming skills

• Experience using MS Office suite, including Microsoft Access, Excel, and Word

• Expertise in utilizing data analysis and query tools such as SQL

• Experience with Alteryx, Tableau, Amazon Redshift, or other similar tools/platforms

• Experience with applied statistics skills, such as distributions, statistical testing, regression, etc.

• Ability to successfully run queries from a data warehouse

• Expertise innovating and implementing audit techniques

Preferred Qualifications:

• Masters degree from an accredited institution

• Degree in Mathematics, Computer Science, Data Sciences, Engineering, Business Analytics, Informatics, or similar concentration

• Experience with analytical programming techniques such as Python and R

• Experience with AWS and analytical solutions available on the platform (Redshift, Glue, Sage Maker, etc.)

• Experience with data visualization tools such as Tableau

• Familiarity with programming in JavaScript, D3.js

• Familiarity with big data technologies, such as Hadoop, MapReduce, and AWS Kinesis

• Experience developing innovative solutions to complex problems

• Advanced problem solving skills and the ability to make critical, independent decisions within area of responsibility

• Excellent communication skills

• Excellent time management and the ability to prioritize work and complete assignments within their allotted deadline

• Experience working with and communicating technical information to multiple levels of technical and non-technical staff in written and verbal form

• Experience prioritizing a heavy workload in a fast paced environment

• Knowledge of modern machine learning algorithms (clustering, classification and regression), statistical methods and optimization

• Knowledge of health care industry, products, systems, business strategies and products

Compliance & Regulatory Responsibilities: NA

License/Certification: NA

WE ARE AN EQUAL OPPORTUNITY EMPLOYER. Applicants and employees are considered for positions and are evaluated without regard to mental or physical disability, race, color, religion, gender, gender identity, sexual orientation, national origin, age, genetic information, military or veteran status, marital status, mental or physical disability or any other protected Federal, State/Province or Local status unrelated to the performance of the work involved.